Chris Padwick, Machine Learning Engineer at Blue River Technology, talks with Mark Jamtgaard, Director of Technology at RetailNext for the “Taking Computer Vision Products from Prototype to Robust Product,” interview at the May 2025 Embedded Vision Summit.
When developing computer vision-based products, getting from a proof of concept to a robust product ready for deployment can be a massive undertaking. The most vexing challenges in this process often relate to the “long-tail problem,” which arises when datasets have highly imbalanced distributions of classes.
This candid conversation on the realities of delivering reliable computer vision products to market delves into lessons learned from Padwick’s years of experience developing automated farming equipment for deployment at scale and explores practical strategies for data curation, data labeling and model testing approaches. Padwick and Jamtgaard also discuss approaches for tackling challenges such as object class confusion and correlated training data.
See here for a PDF of the slides.
